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Jacob K. Goeree

Researcher at University of New South Wales

Publications -  193
Citations -  8560

Jacob K. Goeree is an academic researcher from University of New South Wales. The author has contributed to research in topics: Common value auction & Nash equilibrium. The author has an hindex of 48, co-authored 189 publications receiving 8033 citations. Previous affiliations of Jacob K. Goeree include University of Zurich & Technische Universität München.

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Ten Little Treasures of Game Theory and Ten Intuitive Contradictions

TL;DR: In this paper, the authors report laboratory data for games that are played only once, and show that a change in the payoff structure produces a large inconsistency between theoretical predictions and observed behavior, which is consistent with simple intuition based on the interaction of payoff asymmetries and noisy introspection about others' decisions.
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Quantal Response Equilibrium and Overbidding in Private-Value Auctions

TL;DR: In this article, the authors report the results of a private-values auction experiment in which expected costs of deviating from the Nash equilibrium bidding function are asymmetric, with the implication that upward deviations will be more likely in one treatment than in the other.
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A theoretical analysis of altruism and decision error in public goods games

TL;DR: In this paper, the authors formalized an equilibrium model in which altruism and decision-error parameters determine the distribution of contributions for linear and quadratic public goods games and showed that the equilibrium density is exponential for linear games.
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Private costs and public benefits: unraveling the effects of altruism and noisy behavior

TL;DR: In this paper, the authors use a logit equilibrium model in which individuals are motivated by own and others' earnings, and in which choice is stochastic, and the resulting two-parameter model tracks the pattern of contributions across the ten treatments.
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Risk Averse Behavior in Generalized Matching Pennies Games

TL;DR: A structural econometric model which incorporates risk aversion into a quantal response equilibrium explains the data very well and risk aversion estimates are stable across the different games and are close to those obtained from laboratory and field auction data.